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                                <div class="fw-bold"> Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion  </div>
                                <div> Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2303.02094"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-03-03</div>
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                            <div class="paper-date">2023-03-03</div>
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                                <div class="fw-bold"> Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection  </div>
                                <div> Jian Shi, Pengyi Zhang, Ni Zhang, Hakim Ghazzai, Yehia Massoud </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.14696"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-28</div>
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                            <div class="paper-date">2023-02-28</div>
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                                <div class="fw-bold"> DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models  </div>
                                <div> Tiange Xiang, Mahmut Yurt, Ali B Syed, Kawin Setsompop, Akshay Chaudhari </div>
                                <div>
                                        ICLR 2023.

                                        <a href="https://arxiv.org/abs/2302.03018"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/StanfordMIMI/DDM2"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-06</div>
                            </div>
                            <div class="paper-date">2023-02-06</div>
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                                <div class="fw-bold"> Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion  </div>
                                <div> Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.13743"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-31</div>
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                            <div class="paper-date">2023-01-31</div>
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                                <div class="fw-bold"> Diffusion Denoising for Low-Dose-CT Model  </div>
                                <div> Runyi Li </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.11482"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-27</div>
                            </div>
                            <div class="paper-date">2023-01-27</div>
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                                <div class="fw-bold"> DiffusionCT: Latent Diffusion Model for CT Image Standardization  </div>
                                <div> Md Selim, Jie Zhang, Michael A. Brooks, Ge Wang, Jin Chen </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.08815"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-20</div>
                            </div>
                            <div class="paper-date">2023-01-20</div>
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                                <div class="fw-bold"> MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer  </div>
                                <div> Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yanwu Xu </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.11798"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-19</div>
                            </div>
                            <div class="paper-date">2023-01-19</div>
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                                <div class="fw-bold"> The role of noise in denoising models for anomaly detection in medical images  </div>
                                <div> Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia S. Mikhael, Jeremy P. Voisey, Keith Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.08330"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/AntanasKascenas/DenoisingAE"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-19</div>
                            </div>
                            <div class="paper-date">2023-01-19</div>
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                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction  </div>
                                <div> Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.03027"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-08</div>
                            </div>
                            <div class="paper-date">2023-01-08</div>
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                                <div class="fw-bold"> Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets  </div>
                                <div> Dennis Eschweiler, Johannes Stegmaier </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.10227"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-02</div>
                            </div>
                            <div class="paper-date">2023-01-02</div>
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                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification  </div>
                                <div> Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill Abrigo, Qi Dou </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.00409"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-01</div>
                            </div>
                            <div class="paper-date">2023-01-01</div>
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                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation  </div>
                                <div> Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.08228"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-16</div>
                            </div>
                            <div class="paper-date">2022-12-16</div>
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                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Universal Generative Modeling in Dual-domain for Dynamic MR Imaging  </div>
                                <div> Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.07599"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-15</div>
                            </div>
                            <div class="paper-date">2022-12-15</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Probabilistic Models beat GANs on Medical Images  </div>
                                <div> Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, Tianyu Han, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.07501"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-14</div>
                            </div>
                            <div class="paper-date">2022-12-14</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging  </div>
                                <div> Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.11274"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-14</div>
                            </div>
                            <div class="paper-date">2022-12-14</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging  </div>
                                <div> Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.03630"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-07</div>
                            </div>
                            <div class="paper-date">2022-12-07</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> RoentGen: Vision-Language Foundation Model for Chest X-ray Generation  </div>
                                <div> Pierre Chambon<sup>1</sup>, Christian Bluethgen<sup>1</sup>, Jean-Benoit Delbrouck, Rogier Van der Sluijs, Małgorzata Połacin, Juan Manuel Zambrano Chaves, Tanishq Mathew Abraham, Shivanshu Purohit, Curtis P. Langlotz, Akshay Chaudhari </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.12737"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-23</div>
                            </div>
                            <div class="paper-date">2022-11-23</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Improving dermatology classifiers across populations using images generated by large diffusion models  </div>
                                <div> Luke W. Sagers<sup>1</sup>, James A. Diao<sup>1</sup>, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai </div>
                                <div>
                                        NeurIPS Workshop 2022.

                                        <a href="https://arxiv.org/abs/2211.13352"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-23</div>
                            </div>
                            <div class="paper-date">2022-11-23</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction  </div>
                                <div> Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.12340"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-22</div>
                            </div>
                            <div class="paper-date">2022-11-22</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models  </div>
                                <div> Hyungjin Chung<sup>1</sup>, Dohoon Ryu<sup>1</sup>, Michael T. McCann, Marc L. Klasky, Jong Chul Ye </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.10655"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-19</div>
                            </div>
                            <div class="paper-date">2022-11-19</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction  </div>
                                <div> Wenjun Xia, Wenxiang Cong, Ge Wang </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.10388"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-18</div>
                            </div>
                            <div class="paper-date">2022-11-18</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields  </div>
                                <div> Xie Taofeng<sup>1</sup>, Cao Chentao<sup>1</sup>, Cui Zhuoxu, Li Fanshi, Wei Zidong, Zhu Yanjie, Li Ye, Liang Dong, Jin Qiyu, Chen Guoqing, Wang Haifeng </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.08901"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-16</div>
                            </div>
                            <div class="paper-date">2022-11-16</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> An unobtrusive quality supervision approach for medical image annotation  </div>
                                <div> Sonja Kunzmann, Mathias Öttl, Prathmesh Madhu, Felix Denzinger, Andreas Maier </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.06146"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-11</div>
                            </div>
                            <div class="paper-date">2022-11-11</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks  </div>
                                <div> Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.06150"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-11</div>
                            </div>
                            <div class="paper-date">2022-11-11</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Medical Diffusion -- Denoising Diffusion Probabilistic Models for 3D Medical Image Generation  </div>
                                <div> Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze-Hagen, Philipp Schad, Sandy Engelhardt, Bettina Baessler, Sebastian Foersch, Johannes Stegmaier, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.03364"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-07</div>
                            </div>
                            <div class="paper-date">2022-11-07</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models  </div>
                                <div> Hazrat Ali, Shafaq Murad, Zubair Shah </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.00902"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://www.kaggle.com/datasets/hazrat/awesomelungs"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-02</div>
                            </div>
                            <div class="paper-date">2022-11-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems  </div>
                                <div> Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.01323"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-02</div>
                            </div>
                            <div class="paper-date">2022-11-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model  </div>
                                <div> Junde Wu, Huihui Fang, Yu Zhang, Yehui Yang, Yanwu Xu </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.00611"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-01</div>
                            </div>
                            <div class="paper-date">2022-11-01</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation  </div>
                                <div> Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2210.17408"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-27</div>
                            </div>
                            <div class="paper-date">2022-10-27</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report  </div>
                                <div> Pouria Rouzrokh<sup>1</sup>, Bardia Khosravi<sup>1</sup>, Shahriar Faghani, Mana Moassefi, Sanaz Vahdati, Bradley J. Erickson </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2210.12113"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/Mayo-Radiology-Informatics-Lab/MBTI"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-21</div>
                            </div>
                            <div class="paper-date">2022-10-21</div>
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                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains  </div>
                                <div> Pierre Chambon<sup>1</sup>, Christian Bluethgen<sup>1</sup>, Curtis P. Langlotz, Akshay Chaudhari </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2210.04133"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-09</div>
                            </div>
                            <div class="paper-date">2022-10-09</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Anatomically constrained CT image translation for heterogeneous blood vessel segmentation  </div>
                                <div> Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch </div>
                                <div>
                                        BMVC 2022.

                                        <a href="https://arxiv.org/abs/2210.01713"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-04</div>
                            </div>
                            <div class="paper-date">2022-10-04</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup  </div>
                                <div> Wenjun Xia, Qing Lyu, Ge Wang </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2209.15136"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-29</div>
                            </div>
                            <div class="paper-date">2022-09-29</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation  </div>
                                <div> Boah Kim<sup>1</sup>, Yujin Oh<sup>1</sup>, Jong Chul Ye </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2209.14566"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-29</div>
                            </div>
                            <div class="paper-date">2022-09-29</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models  </div>
                                <div> Qing Lyu, Ge Wang </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2209.12104"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-24</div>
                            </div>
                            <div class="paper-date">2022-09-24</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Brain Imaging Generation with Latent Diffusion Models  </div>
                                <div> Walter H. L. Pinaya<sup>1</sup>, Petru-Daniel Tudosiu<sup>1</sup>, Jessica Dafflon, Pedro F da Costa, Virginia Fernandez, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2209.07162"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-15</div>
                            </div>
                            <div class="paper-date">2022-09-15</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> PET image denoising based on denoising diffusion probabilistic models  </div>
                                <div> Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2209.06167"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-13</div>
                            </div>
                            <div class="paper-date">2022-09-13</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction  </div>
                                <div> Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang </div>
                                <div>
                                        IEEE TMI 2022.

                                        <a href="https://arxiv.org/abs/2209.00835"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-02</div>
                            </div>
                            <div class="paper-date">2022-09-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> High-Frequency Space Diffusion Models for Accelerated MRI  </div>
                                <div> Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2208.05481"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-08-10</div>
                            </div>
                            <div class="paper-date">2022-08-10</div>
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                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> What is Healthy? Generative Counterfactual Diffusion for Lesion Localization  </div>
                                <div> Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris </div>
                                <div>
                                        MICCAI 2022.

                                        <a href="https://arxiv.org/abs/2207.12268"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/vios-s/Diff-SCM"
                                           class="link-primary">Github</a> &nbsp
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                                <div class="paper-date-inner">2022-07-25</div>
                            </div>
                            <div class="paper-date">2022-07-25</div>
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                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Unsupervised Medical Image Translation with Adversarial Diffusion Models  </div>
                                <div> Muzaffer Özbey, Salman UH Dar, Hasan A Bedel, Onat Dalmaz, Şaban Özturk, Alper Güngör, Tolga Çukur </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2207.08208"
                                           class="link-primary">Paper</a> &nbsp
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                                <div class="paper-date-inner">2022-07-17</div>
                            </div>
                            <div class="paper-date">2022-07-17</div>
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                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Adaptive Diffusion Priors for Accelerated MRI Reconstruction  </div>
                                <div> Salman UH Dar, Şaban Öztürk, Yilmaz Korkmaz, Gokberk Elmas, Muzaffer Özbey, Alper Güngör, Tolga Çukur </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2207.05876"
                                           class="link-primary">Paper</a> &nbsp
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                                <div class="paper-date-inner">2022-07-12</div>
                            </div>
                            <div class="paper-date">2022-07-12</div>
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                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion  </div>
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                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2207.03430"
                                           class="link-primary">Paper</a> &nbsp
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                                <div class="paper-date-inner">2022-07-07</div>
                            </div>
                            <div class="paper-date">2022-07-07</div>
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                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Deformable Model for 4D Temporal Medical Image Generation  </div>
                                <div> Boah Kim, Jong Chul Ye </div>
                                <div>
                                        MICCAI 2022.

                                        <a href="https://arxiv.org/abs/2206.13295"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/torchddm/ddm"
                                           class="link-primary">Github</a> &nbsp
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                                <div class="paper-date-inner">2022-06-27</div>
                            </div>
                            <div class="paper-date">2022-06-27</div>
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                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease  </div>
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                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.13393"
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                                <div class="paper-date-inner">2022-06-20</div>
                            </div>
                            <div class="paper-date">2022-06-20</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models  </div>
                                <div> Walter H. L. Pinaya, Mark S. Graham, Robert Gray, Pedro F Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Rolf Jager, David Werring, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardos </div>
                                <div>
                                        MICCAI 2022.

                                        <a href="https://arxiv.org/abs/2206.03461"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-07</div>
                            </div>
                            <div class="paper-date">2022-06-07</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Improving Diffusion Models for Inverse Problems using Manifold Constraints  </div>
                                <div> Hyungjin Chung<sup>1</sup>, Byeongsu Sim<sup>1</sup>, Dohoon Ryu, Jong Chul Ye </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.00941"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-02</div>
                            </div>
                            <div class="paper-date">2022-06-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise  </div>
                                <div> Julian Wyatt, Adam Leach, Sebastian M. Schmon, Chris G. Willcocks </div>
                                <div>
                                        CVPR Workshop 2022.

                                        <a href="https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/papers/Wyatt_AnoDDPM_Anomaly_Detection_With_Denoising_Diffusion_Probabilistic_Models_Using_Simplex_CVPRW_2022_paper.pdf"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/Julian-Wyatt/AnoDDPM"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-01</div>
                            </div>
                            <div class="paper-date">2022-06-01</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models  </div>
                                <div> Julia Wolleb<sup>1</sup>, Robin Sandkühler<sup>1</sup>, Florentin Bieder, Philippe C. Cattin </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2204.02641"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-04-06</div>
                            </div>
                            <div class="paper-date">2022-04-06</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion  </div>
                                <div> Hyungjin Chung, Eun Sun Lee, Jong Chul Ye </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2203.12621"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-03-23</div>
                            </div>
                            <div class="paper-date">2022-03-23</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Towards performant and reliable undersampled MR reconstruction via diffusion model sampling  </div>
                                <div> Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2203.04292"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/cpeng93/diffuserecon"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-03-08</div>
                            </div>
                            <div class="paper-date">2022-03-08</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Models for Medical Anomaly Detection  </div>
                                <div> Julia Wolleb, Florentin Bieder, Robin Sandkühler, Philippe C. Cattin </div>
                                <div>
                                        MICCAI 2022.

                                        <a href="https://arxiv.org/abs/2203.04306"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/JuliaWolleb/diffusion-anomaly"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-03-08</div>
                            </div>
                            <div class="paper-date">2022-03-08</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction  </div>
                                <div> Yutong Xie, Quanzheng Li </div>
                                <div>
                                        MICCAI 2022.

                                        <a href="https://arxiv.org/abs/2203.03623"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/Theodore-PKU/MC-DDPM"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-03-05</div>
                            </div>
                            <div class="paper-date">2022-03-05</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation  </div>
                                <div> Guanxiong Luo, Martin Heide, Martin Uecker </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2202.01479"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/mrirecon/spreco"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-02-03</div>
                            </div>
                            <div class="paper-date">2022-02-03</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model  </div>
                                <div> Dewei Hu, Yuankai K. Tao, Ipek Oguz </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2201.11760"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/DeweiHu/OCT_DDPM"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-01-27</div>
                            </div>
                            <div class="paper-date">2022-01-27</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction  </div>
                                <div> Hyungjin Chung, Byeongsu Sim, Jong Chul Ye </div>
                                <div>
                                        CVPR 2021.

                                        <a href="https://arxiv.org/abs/2112.05146"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-12-09</div>
                            </div>
                            <div class="paper-date">2021-12-09</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Solving Inverse Problems in Medical Imaging with Score-Based Generative Models  </div>
                                <div> Yang Song<sup>1</sup>, Liyue Shen<sup>1</sup>, Lei Xing, Stefano Ermon </div>
                                <div>
                                        NeurIPS Workshop 2021.

                                        <a href="https://arxiv.org/abs/2111.08005"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/yang-song/score_inverse_problems"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-11-15</div>
                            </div>
                            <div class="paper-date">2021-11-15</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Score-based diffusion models for accelerated MRI  </div>
                                <div> Hyungjin Chung, Jong chul Ye </div>
                                <div>
                                        MIA 2021.

                                        <a href="https://arxiv.org/abs/2110.05243"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/HJ-harry/score-MRI"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-10-08</div>
                            </div>
                            <div class="paper-date">2021-10-08</div>
                        </li>
                </ol>
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